Meiling Dai
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
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- Influenza Virus Research Studies 7
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- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 2
- Co-authors
- Erik de Vries (6 shared papers)Cornelis A. M. de Haan (6 shared papers)Frank J. M. van Kuppeveld (6 shared papers)Hongbo Guo (2 shared papers)James C. Paulson (2 shared papers)Raoul J. de Groot (2 shared papers)Ryan McBride (2 shared papers)Peter J. M. Rottier (1 shared paper)
- Journals
- Journal of Virology (3 papers)Virus Research (1 paper)Vaccines (1 paper)Acta Biomaterialia (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- NetherlandsAustraliaUnited States
In The Last Decade
Meiling Dai
11 papers receiving 410 citations
Peers
Comparison fields: 5 of 62
- Epidemiology 284
- Agronomy and Crop Science 92
- Infectious Diseases 128
- Animal Science and Zoology 59
- Endocrinology 13
Countries citing papers authored by Meiling Dai
This map shows the geographic impact of Meiling Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meiling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Dai more than expected).
Fields of papers citing papers by Meiling Dai
This network shows the impact of papers produced by Meiling Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meiling Dai. The network helps show where Meiling Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2015 | 72 | |
| 3 | 2017 | 41 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 36 | |
| 6 | 2022 | 34 | |
| 7 | 2013 | 32 | |
| 8 | 2016 | 30 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 1 |
About Meiling Dai
Meiling Dai is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Molecular Biology and Genetics, having authored 11 papers that have together received 419 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (3 papers), RNA and protein synthesis mechanisms (3 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Vectors (2 papers) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Epidemiology (284 citations), Agronomy and Crop Science (92 citations), Infectious Diseases (128 citations), Animal Science and Zoology (59 citations) and Endocrinology (13 citations). Meiling Dai has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Erik de Vries, Cornelis A. M. de Haan, Frank J. M. van Kuppeveld, Hongbo Guo, James C. Paulson, Raoul J. de Groot, Ryan McBride, Peter J. M. Rottier, Huib H. Rabouw and Anne Slomp. Their work appears in journals such as Journal of Virology, Virus Research, Vaccines, Acta Biomaterialia and Emerging infectious diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.